First-principles phonon calculations with phonopy and phono3py

A Togo - Journal of the Physical Society of Japan, 2023 - journals.jps.jp
Harmonic, quasi-harmonic, and anharmonic phonon properties of crystals are getting to be
better predicted using first-principles phonon calculations by virtue of the progress of the …

Implementation strategies in phonopy and phono3py

A Togo, L Chaput, T Tadano… - Journal of Physics …, 2023 - iopscience.iop.org
Scientific simulation codes are public property sustained by the community. Modern
technology allows anyone to join scientific software projects, from anywhere, remotely via …

GPUMD: A package for constructing accurate machine-learned potentials and performing highly efficient atomistic simulations

Z Fan, Y Wang, P Ying, K Song, J Wang… - The Journal of …, 2022 - pubs.aip.org
We present our latest advancements of machine-learned potentials (MLPs) based on the
neuroevolution potential (NEP) framework introduced in Fan et al.[Phys. Rev. B 104, 104309 …

FourPhonon: An extension module to ShengBTE for computing four-phonon scattering rates and thermal conductivity

Z Han, X Yang, W Li, T Feng, X Ruan - Computer Physics Communications, 2022 - Elsevier
FourPhonon is a computational package that can calculate four-phonon scattering rates in
crystals. It is built within ShengBTE framework, which is a well-recognized lattice thermal …

Neuroevolution machine learning potentials: Combining high accuracy and low cost in atomistic simulations and application to heat transport

Z Fan, Z Zeng, C Zhang, Y Wang, K Song, H Dong… - Physical Review B, 2021 - APS
We develop a neuroevolution-potential (NEP) framework for generating neural network-
based machine-learning potentials. They are trained using an evolutionary strategy for …

Wigner formulation of thermal transport in solids

M Simoncelli, N Marzari, F Mauri - Physical Review X, 2022 - APS
Two different heat-transport mechanisms are discussed in solids. In crystals, heat carriers
propagate and scatter particlelike as described by Peierls's formulation of the Boltzmann …

The stochastic self-consistent harmonic approximation: calculating vibrational properties of materials with full quantum and anharmonic effects

L Monacelli, R Bianco, M Cherubini… - Journal of Physics …, 2021 - iopscience.iop.org
The efficient and accurate calculation of how ionic quantum and thermal fluctuations impact
the free energy of a crystal, its atomic structure, and phonon spectrum is one of the main …

Predicting lattice thermal conductivity via machine learning: a mini review

Y Luo, M Li, H Yuan, H Liu, Y Fang - NPJ Computational Materials, 2023 - nature.com
Over the past few decades, molecular dynamics simulations and first-principles calculations
have become two major approaches to predict the lattice thermal conductivity (κ L), which …

Thermal conductivity of glasses: First-principles theory and applications

M Simoncelli, F Mauri, N Marzari - npj Computational Materials, 2023 - nature.com
Predicting the thermal conductivity of glasses from first principles has hitherto been a very
complex problem. The established Allen-Feldman and Green-Kubo approaches employ …

The physical significance of imaginary phonon modes in crystals

I Pallikara, P Kayastha, JM Skelton… - Electronic …, 2022 - iopscience.iop.org
The lattice vibrations (phonon modes) of crystals underpin a large number of material
properties. The harmonic phonon spectrum of a solid is the simplest description of its …